Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xingwang Xiong"'
Publikováno v:
IEEE Computer Architecture Letters. 20:86-89
This letter reveals that performing microarchitecture-dependent, or microarchitecture-independent, or ISA-independent workload characterization alone will lead to misleading or even erroneous conclusions. We present a whole-picture workload character
Autor:
Hongxiao Li, Lei Wang, Wanling Gao, Chuanxin Lan, Xingwang Xiong, Fei Tang, Zihan Jiang, Jianfeng Zhan, Chunjie Luo
Publikováno v:
CLUSTER
Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the training time to achieve a state-of-the-art quality. The HPC AI benchmar
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030495558
Bench
Bench
2D Face recognition has been extensively studied for decades and has reached remarkable results in recent years. However, 2D Face recognition is sensitive to variations in poses, facial expressions and illuminations. Depth images provide valuable inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c514afca28786cc7bcf04cd613b53cea
https://doi.org/10.1007/978-3-030-49556-5_14
https://doi.org/10.1007/978-3-030-49556-5_14
Autor:
Chen Zheng, Fan Zhang, Lei Wang, Chunjie Luo, Daoyi Zheng, Fanda Fan, Tianshu Hao, Hainan Ye, Xiaoyu Wang, Xiwen He, Jianfeng Zhan, Jianan Chen, Biwei Xie, Wanling Gao, Zheng Cao, Wei Li, Kent Zhan, Yunyou Huang, Xu Wen, Zhen Jia, Mengjia Du, Jiahui Dai, Xingwang Xiong, Zihan Jiang, Haoning Tang
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
AI benchmarking provides yardsticks for benchmarking, measuring and evaluating innovative AI algorithms, architecture, and systems. Coordinated by BenchCouncil, this paper presents our joint research and engineering efforts with several academic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aaa4fa17febd9e0fbea981534515be7
https://doi.org/10.1007/978-3-030-32813-9_1
https://doi.org/10.1007/978-3-030-32813-9_1
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
To improve system resource utilization, consolidating multi-tenants’ workloads on the common computing infrastructure is a popular way for the cloud data center. The typical deployment of the modern cloud data center is co-locating online services
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f26c9c22d390e0ae67f0e069bb15e84c
https://doi.org/10.1007/978-3-030-32813-9_10
https://doi.org/10.1007/978-3-030-32813-9_10
Autor:
Cheng Huang, Tong Wu, Fan Zhang, Chunjie Luo, Xingwang Xiong, Jianfeng Zhan, Lei Wang, Jianan Chen, Wanling Gao, Runsong Zhou, Hainan Ye
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
Due to increasing amounts of data and compute resources, the deep learning achieves many successes in various domains. Recently, researchers and engineers make effort to apply the intelligent algorithms to the mobile or embedded devices. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0a80b53ece3449b151cbfd3b11700c2
https://doi.org/10.1007/978-3-030-32813-9_4
https://doi.org/10.1007/978-3-030-32813-9_4
Autor:
Xiaoyi Lu, Shengzhong Feng, Hainan Ye, Chunjie Luo, Jianfeng Zhan, Weijia Xu, Lei Wang, Yunquan Zhang, Xingwang Xiong, Zihan Jiang, Kenli Li, Wanling Gao, Yuchen Zhang, Xu Wen
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
In recent years, with the trend of applying deep learning (DL) in high performance scientific computing, the unique characteristics of emerging DL workloads in HPC raise great challenges in designing, implementing HPC AI systems. The community needs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749a89fed29feec724ed54defeb03884
https://doi.org/10.1007/978-3-030-32813-9_2
https://doi.org/10.1007/978-3-030-32813-9_2
Publikováno v:
Energy. 59:658-665
An experimental study on the effects of compression ratio (i.e. 10:1, 12:1) on the combustion and emission of a hydrogen enriched natural gas engine under different excess air ratio is reported. The experimental data are compiled on a turbocharged sp